| 1. |
- Hane Hagström, Malin, 1971, et al.
(författare)
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Evaluating the effectiveness of machine acquisitions and design by the impact on maintenance cost – a case study
- 2020
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Ingår i: IFAC-PapersOnLine. - : Elsevier BV. - 2405-8963. ; 53:3, s. 25-30
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Konferensbidrag (refereegranskat)abstract
- Industry 4.0 and circular economy are paradigm shifts for the industry. More and more machines will be used and the capability to maintain the machines becomes vital. The maintainability of a machine is to a large extent set already in the design phase; the goal of this article is to use a case study to investigate the quality of the machine design from a maintenance perspective. The results show that maintenance cost is gradually increasing in the initial part of the machine life cycle, that the new machines have higher maintenance costs than the machines approaching end of life, and that design weakness is a significant contributor to the maintenance cost. To understand more clearly why, further research in knowledge management, complementary qualitative interviews and smart maintenance is suggested.
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| 2. |
- Ito, Adriana, 1985, et al.
(författare)
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Improved root cause analysis supporting resilient production systems
- 2022
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Ingår i: Journal of Manufacturing Systems. - : Elsevier BV. - 0278-6125. ; 64, s. 468-478
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Forskningsöversikt (refereegranskat)abstract
- Manufacturing companies struggle to be efficient and effective when conducting root cause analyses of production disturbances; a fact which hinders them from creating and developing resilient production systems. This article aims to describe the challenges and enablers identified in current research relating to the different phases of root cause analysis. A systematic literature review was conducted, in which a total of 14 challenges and 17 enablers are identified and described. These correlate to the different phases of root cause analysis. Examples of challenges are “need for expertise”, “employee bias”, “poor data quality” and “lack of data integration”, among others. Examples of enablers are “visualisation tools”, “collaborative platforms”, “thesaurus” and “machine learning techniques”. Based on these findings, the authors also propose potential areas for further research and then design inputs for new solutions to improve root cause analysis. This article provides a theoretical contribution in that it describes the challenges and enablers of root cause analysis and their correlation to the creation of resilient production systems. The article also provides practical contributions, with an overview of current research to support practitioners in gaining insights into potential solutions to be implemented and further developed, with the aim of improving root cause analysis in production systems.
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| 3. |
- Lundgren, Camilla, 1989, et al.
(författare)
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How industrial maintenance managers perceive socio-technical changes in leadership in the Industry 4.0 context
- 2023
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Ingår i: International Journal of Production Research. - : Informa UK Limited. - 0020-7543 .- 1366-588X. ; 61:15, s. 5282-5301
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Tidskriftsartikel (refereegranskat)abstract
- Innovations and advancements in technology create new opportunities to run and maintain manufacturing plants, which we refer to as digitalised manufacturing. This development is recognised as a socio-technical system (STS) change, where a change in the production system’s goals, technology, processes, people, or environment may lead to ripple effects between those sub-systems. Despite this, technology development and technology use cases account for most of the research within digitalised manufacturing, while little attention has been devoted to leadership practices considering digitalised manufacturing from a socio-technical perspective. This paper focuses on the maintenance organisation, whose mission in a company is to keep production systems functional. We aim to describe leadership in industrial maintenance from an STS perspective. This is a unique interview study where twenty maintenance managers from Swedish manufacturing industry offer their perspective on the changing leadership within maintenance, providing a unique insight into the challenges facing leaders of maintenance in digitalised manufacturing. We frame the empirical findings using an STS framework and propose an overall consideration model for leadership that supports the development of a functional maintenance organisation in the face of pervasive digitalisation.
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| 4. |
- Algabroun, Hatem, et al.
(författare)
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Development of digitalised maintenance : a concept
- 2022
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Ingår i: Journal of Quality in Maintenance Engineering. - : Emerald Group Publishing Limited. - 1355-2511 .- 1758-7832. ; 28:2, s. 367-390
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Tidskriftsartikel (refereegranskat)abstract
- Purpose This paper presents a concept for digitalised maintenance (DM), maps the conceptualised DM to maintenance problems in industries and highlights challenges that might be faced when realizing this concept. Design/methodology/approach First, maintenance problems that are faced by the industry are presented, followed by a conceptualisation of DM. Next, a typical operational scenario is used as an exemplification to show system dynamics. The characteristics of this conceptualised DM are then mapped to the identified maintenance problems of industry. Then, interesting initiatives in this domain are highlighted, and finally, the challenges to realize this approach are discussed. Findings This paper identified a set of problems related to maintenance in industry. In order to solve current industrial problems, exploit emerging digital technologies and elevate future industries, it will be necessary to develop new maintenance approaches. The mapping between the criteria of DM and maintenance problems shows the potential of this concept and gives a reason to examine it empirically in future work. Originality/value This paper aims to help maintenance professionals from both academia and industry to understand and reflect on the problems related to maintenance, as well as to comprehend the requirements of a digitalised maintenance and challenges that may arise.
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| 5. |
- Alin, David, 1984, et al.
(författare)
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Reducing the EPEI-Time Using Discrete Event Simulation
- 2009
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Ingår i: Proceedings of the 2009 Swedish Production Symposium. ; :2, s. 295-301
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Konferensbidrag (refereegranskat)abstract
- One of the cornerstones in LEAN production is ‘make to order’, which requires small batch sizes and, thus, short Every Part Every Interval (EPEI) times. EPEI-time is defined as the time it takes to produce all product variants, before the first variant in the cycle returns in the schedule. However, many companies are reluctant to reduce their EPEI-times due to the increased number of set-ups. This skepticism is also supported by parts of existing theory, while other research contributions mean that companies often can reduce batch-sizes without affecting productivity. This paper presents a case study which uses discrete event simulation (DES) to evaluate the relation between EPEI-time and productivity. The results show that it is possible to reduce the EPEI-time and still maintain productivity and service levels to customers, without any investments. Increased variation in the production schedule evened out the load among the machines and, hence, the time lost in set-ups was gained in more parallel work.
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| 6. |
- Andersson, Jon, 1985, et al.
(författare)
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Environmental Activity Based Cost using Discrete Event Simulation
- 2011
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Ingår i: Proceedings - Winter Simulation Conference. - 0891-7736. - 9781457721083 ; , s. 891-902
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Konferensbidrag (refereegranskat)abstract
- Discrete event simulation (DES) provides engineers with a flexible modeling capability for extensive analysis of a production flow and its dynamic behavior. Activity based costing (ABC) modeling can pro-vide additional knowledge about the monetary costs related to the manufacturing processes in DES. In addition, ABC modeling has been proposed as a tool for environmental impact analysis. Thus, previous studies have separately brought ABC into DES and ABC into environmental impact analysis. Bringing all three areas together, an ABC environmental simulation could provide deeper understanding about envi-ronmental impacts in the manufacturing processes than a regular Life Cycle Assessment (LCA) analysis. This paper proposes to use ABC modeling in conjunction with DES to perform a more detailed economic and environmental impact cost analysis. It is emphasized that the time to perform both analysis in one simulation is shorter or equal to perform them separately. Moreover, the approach can resolve some LCA problems.
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| 7. |
- Andersson, Jon, 1985, et al.
(författare)
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Environmental Impact Assessment for Manufacturing: Data Requirements for a Simulation-Based Approach
- 2012
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Ingår i: Swedish Production Symposium. - 9789175197524 ; , s. 151-160
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Konferensbidrag (refereegranskat)abstract
- The environmental footprint of products is an increasingly important measure for companies working to improve their sustainability performance, and the same measure has also become popular for marketing purposes. As a result, the demand for environmental product declarations and, thus, life cycle assessment (LCA) projects grows. To reap the full benefit from LCA studies in production systems analysis, LCA has more frequently been complemented with simulation of production flows (i.e. discrete event simulation) during the latest decade. Several examples of the DES-LCA combination in recent literature report substantial potential and successful implementations. However, a common problem is to establish efficient and credible procedures for collecting, analyzing, and representing the extensive amounts of input data required. The aim of this paper is therefore to provide recommendations for the management of environmental data in sustainability simulations. A review of seven previous DES-LCA projects provides a list of common sustainability parameters and experiences on how they should be collected and represented in simulation models. An important result is that deterministic representations appear to be enough for data not directly linked to production time. This finding makes it possible to replace time-consuming data gathering with collection of secondary data from public databases.
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| 8. |
- Andersson, Jon, 1985, et al.
(författare)
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Evaluation of methods used for life-cycle assessments in Discrete Event Simulation
- 2012
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Ingår i: Proceedings - Winter Simulation Conference. - 0891-7736. - 9781467347792
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Konferensbidrag (refereegranskat)abstract
- The incitements from society for life-cycle assessment (LCA) and credible ecolables are ever-increasingand often important for successful marketing of products. Robust assessment methods are important forcomparable, useful and trustworthy LCAs and ecolables. In order to improve the metrics of a product’secolable, is it important to fully understand its production system. Discrete Event Simulation (DES)models are able to provide more detailed information than traditional LCA approaches. Therefore,methods used to combining LCA in DES have been developed during the last decade. The combinedapproaches have matured and the experiences grown. This article compares six previous cases and aims tosummarize and discuss their experiences to aid future development. The results show where it isspecifically important to make good decisions throughout the modeling methodology, for example goaland scope definition, trustworthy input data for sensitive parts, and communicable impact categories.
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| 9. |
- Andersson, Jon, 1985, et al.
(författare)
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Framework for Ecolabeling using Discrete Event Simulation
- 2012
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Ingår i: Proceedings of the 2012 spring simulation multiconference.
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Konferensbidrag (refereegranskat)abstract
- Ecolabled products have shown a competitive advantage to other products. Regulatory changes and market pressure creates an increased need for environmental impact assessments. The dominating method for environmental impact assessments - life cycle assessment (LCA) lacks support to properly analyze the dynamic aspects of business operations and production processes. This Paper proposes to use discrete event simulation to support more extensive and detailed environmental assessments on selected parts of the production process, keeping simplicity for parts of less importance and interest.
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| 10. |
- Baum, Jens, et al.
(författare)
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Applications of Big Data analytics and Related Technologies in Maintenance - Literature-Based Research
- 2018
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Ingår i: Machines. - : MDPI AG. - 2075-1702. ; 6:54, s. 1-12
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Tidskriftsartikel (refereegranskat)abstract
- Digitalisation is argued to increase the efficiency of maintenance activities in a production system. One consequence of digitalisation is data deluge; this allows data analytics methods and technologies to be used. However, the actual data analytical methods and technologies used may differ, thus leading to many scientific papers on this topic. The purpose of our contribution is to find and cluster scientific papers regarding the implemented approaches relevant for use in production maintenance. Our research is based on a broad, systematic literature review consisting of a two-step search approach combined with additional filtering and classification. Based on the search results, we evaluate and visualise the potential impact of data analytics on the subject of maintenance. The results of this study broadly summarise the research activities in production maintenance, whilst indicating that the impact of data analytics will grow further. Specific methodological approaches are clearly favored
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